• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 1996년도 Language, Information and Computation = Selected Papers from the 11th Pacific Asia Conference on Language, Information and Computation, Seoul
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• pp.63-72
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• 1996

• IEIE Transactions on Smart Processing and Computing
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• 제5권2호
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• pp.77-84
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• 2016

In the field of natural language processing, Universal Networking Language (UNL) has been used by various researchers as an inter-lingual approach to automatic machine translation. The UNL system consists of two main components, namely, EnConverter for converting text from a source language to UNL, and DeConverter for converting from UNL to a target language. Currently, many projects are researching how to apply UNL to different languages. In this paper, we introduce the tools that are UNL's applications and discuss how to reuse them to encode a Vietnamese sentence into UNL expressions and decode UNL expressions into a Vietnamese sentence. The testing was done with about 1,000 Vietnamese sentences (a dictionary that includes 4573 entries and 3161 rules). In addition, we compare the proportion of sentences translated based on a direct method (Google Translator) and another one based on UNL.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.77-81
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• 2021

The article is devoted to the consideration of the methodological and general theoretical foundations of a rational methodology for teaching foreign language communicative competence of students of a non-linguistic university. The analysis of the vectors of research of problems of increasing the efficiency of the process of mastering foreign language communicative competence of non-linguistic students is presented. As a methodological basis for a rational methodology for teaching a foreign language communicative competence, the key aspects of the philosophy of rationality are considered, the basic principles of a rational methodology are formulated, linguo-didactic means of its implementation are determined, indicators of rationality are identified.

• 영재교육연구
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• 제16권1호
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• pp.61-79
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• 2006

국내의 정보영재 교육과정을 살펴보면 프로그래밍 언어, 운영체제 혹은 컴퓨터 구조 등으로 편성되어 있다. 이들 교육과정의 운영 형태는 고등사고력 신장에 초점을 맞추기 보다는 다분히 기능 중심의 교육이 주류를 이루고 있다. 정보 영재는 이와 같은 교육 프로그램에 대해 불만을 가지고 있는 것으로 분석되었다(60명 중 58명, 96,67%). 이와 같은 불만은 정보영재 전문 교육기관에서 운영되고 있는 교육과정이 정보 관련 일반 교육 기관에서 운영되고 있는 교육과정과 크게 차별화되지 못하고 있는 이유 때문이다. 본 연구는 이러한 점에 착안하여 프로그래밍 언어를 게임이나 체험을 통하여 학습 할 수 있도록 대안적인 교재를 개발하였다. 본 연구는 대안적인 교재가 정보영재의 프로그래밍 언어 영역의 학업 성취를 향상시킨 것으로 결론 내렸으며, 이와 같은 연구 결과는 향후 정보영재를 위한 교재 개발의 새로운 방향을 제시할 것으로 기대하였다.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 1997년도 제9회 한글 및 한국어 정보처리 학술대회
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• pp.313-319
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• 1997

한국어 의존 파싱에서는 불필요한 의존관계의 과다한 생성과 이에 따른 다수의 구문분석 결과 생성에 대처하는 연구가 필요하다. 본 논문에서는 한국어 의존 파싱 과정에서 생기는 불 필요한 의존관계에 따른 다수의 후보 의존 트리들에 대하여 통계/의미 정보를 활용하여 최적 트리를 결정하는 구문 분석 방법을 제안한다. 본 논문의 구문 분석에서 사용하는 통계/의미 정보는 구문구조부착 말뭉치(Tree Tagged Corpus)를 이용하여 구축한 술어 하위범주화 정보 사전에서 얻었으며, 이러한 정보를 활용한 구문 분석은 한국어 구문 분석의 모호성 해소에 적용되어 한국어 구문 분석의 정확도를 높인다.

• 영어어문교육
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• 제4호
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• pp.117-130
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• 1998

It is simply not true that anyone who can speak English can teach it. Language teaching is both a science and an art; its methods are based on a theoretical foundation and implemented by techniques. However, at a time like the present, when the scientific justification for our methods seems to be uncertain, we should concern ourselves less with theory and more with developing techniques that work with our students. The success of language teaching must be evaluated by the effectiveness of the techniques used. The purpose of the present study is to suggest some useful techniques that the teacher can utilize in teaching English as a foreign language in the elementary school. The techniques suggested are based on the investigation of the characteristics peculiar to children. The investigation takes into account cognitive, affective, and linguistic factors affecting specific techniques. The goal of language teaching is communication and all techniques should move toward this end. The resourceful teacher will provide techniques which exact more and more from the students and less and less from the teacher.

• ETRI Journal
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• 제46권1호
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• pp.137-153
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• 2024

This study introduces a new approach in Korean morphological analysis combining dictionary-based techniques with Transformer-based deep learning models. The key innovation is the use of a BERT-based reranking system, significantly enhancing the accuracy of traditional morphological analysis. The method generates multiple suboptimal paths, then employs BERT models for reranking, leveraging their advanced language comprehension. Results show remarkable performance improvements, with the first-stage reranking achieving over 20% improvement in error reduction rate compared with existing models. The second stage, using another BERT variant, further increases this improvement to over 30%. This indicates a significant leap in accuracy, validating the effectiveness of merging dictionary-based analysis with contemporary deep learning. The study suggests future exploration in refined integrations of dictionary and deep learning methods as well as using probabilistic models for enhanced morphological analysis. This hybrid approach sets a new benchmark in the field and offers insights for similar challenges in language processing applications.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.220-224
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• 2023

The main purpose of the study is to analyze the linguoculturological foundations of in-depth study of the national language. The new requirements facing a modern teacher, his training and professional qualities make it necessary to take into account the experience and latest achievements of other countries in the field of educational policy, in particular, in the field of teaching foreign languages, as well as to identify and overcome negative ones. Based on the results of the study, the key linguoculturological foundations of in-depth study of the national language were characterized.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권6호
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• pp.1692-1705
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• 2024

In this paper, we present a method that integrates a Grammar Transducer as an external language model to enhance the accuracy of the pre-trained Korean End-to-end (E2E) Automatic Speech Recognition (ASR) model. The E2E ASR model utilizes the Connectionist Temporal Classification (CTC) loss function to derive hypothesis sentences from input audio. However, this method reveals a limitation inherent in the CTC approach, as it fails to capture language information from transcript data directly. To overcome this limitation, we propose a fusion approach that combines a clause-level n-gram language model, transformed into a Weighted Finite-State Transducer (WFST), with the E2E ASR model. This approach enhances the model's accuracy and allows for domain adaptation using just additional text data, avoiding the need for further intensive training of the extensive pre-trained ASR model. This is particularly advantageous for Korean, characterized as a low-resource language, which confronts a significant challenge due to limited resources of speech data and available ASR models. Initially, we validate the efficacy of training the n-gram model at the clause-level by contrasting its inference accuracy with that of the E2E ASR model when merged with language models trained on smaller lexical units. We then demonstrate that our approach achieves enhanced domain adaptation accuracy compared to Shallow Fusion, a previously devised method for merging an external language model with an E2E ASR model without necessitating additional training.

• 대한전자공학회논문지SD
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• 제44권6호
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• pp.83-88
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• 2007

본 논문에서는 유기발광다이오드 구동 IC의 기능을 검증하기 위하여 PLI(Programing Language Interface)를 이용한 검증방법을 제안한다. 기능 검증을 하기 위하여 HDL(Hardware Description Language) 시뮬레이터와 PLI, GUI(Graphic User Interface) 환경의 이미지 뷰어를 이용한다. 본 논문에서 제안하는 유기발광다이오드 구동 IC의 기능 검증 방법을 이용 할 경우 종래의 기능 검증 방법을 이용 할 때 보다 40배의 실행 시간 이득을 얻을 수 있다. 제안한 방법을 이용할 경우 디스플레이 구동 IC의 설계 단계에서 기능 검증을 효율적으로 할 수 있을 것이다.